S. Allassonnì-ere, E. Kuhn, and A. Trouvé, Construction of Bayesian deformable models via a stochastic approximation algorithm: A convergence study, Bernoulli, vol.16, issue.3, pp.641-678, 2010.
DOI : 10.3150/09-BEJ229

S. Allassonnì-ere and L. Younes, A stochastic algorithm for probabilistic independent component analysis, In revision for Annals of Applied Statistics

J. Ashburner, Identifying global anatomical differences: deformation-based morphometry, Human Brain Mapping, vol.656, pp.348-357, 1998.

Y. Baraud, C. Giraud, and S. Huet, Gaussian model selection with an unknown variance, The Annals of Statistics, vol.37, issue.2, pp.630-672, 2009.
DOI : 10.1214/07-AOS573

URL : https://hal.archives-ouvertes.fr/hal-00756074

P. Bickel and E. Levina, Covariance regularization by thresholding, The Annals of Statistics, vol.36, issue.6, pp.2577-2604, 2008.
DOI : 10.1214/08-AOS600

S. Durrleman, Inferring brain variability from diffeomorphic deformations of currents: An integrative approach, Medical Image Analysis, vol.12, issue.5, pp.626-637, 2008.
DOI : 10.1016/j.media.2008.06.010

URL : https://hal.archives-ouvertes.fr/hal-00816052

C. Giraud, Estimation of Gaussian graphs by model selection, Electronic Journal of Statistics, vol.2, issue.0, pp.542-563, 2008.
DOI : 10.1214/08-EJS228

URL : https://hal.archives-ouvertes.fr/hal-00180837

C. Giraud, S. Huet, and N. Verzelen, Graph Selection with GGMselect, Statistical Applications in Genetics and Molecular Biology, vol.11, issue.3
DOI : 10.1515/1544-6115.1625

URL : https://hal.archives-ouvertes.fr/hal-00401550

J. Jia and B. Yu, On model selection consistency of the elastic net when p n, 2008.

S. G. Kim, Stuctural connectivity via the tensor-based morphometry, Biannual Meeting of Korean Society of Human Brain Mapping, 2010.

H. Lee, Sparse brain network using penalized linear regression, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2011.
DOI : 10.1117/12.877547

H. E. Lee, Sparse brain network recovery under compressed sensing, IEEE Transactions on Medical Imaging, 2011.

N. Meinshausen and P. Bühlmann, High-dimensional graphs and variable selection with the Lasso, The Annals of Statistics, vol.34, issue.3, pp.1436-1462, 2006.
DOI : 10.1214/009053606000000281

M. Miller, Collaborative computational anatomy: An MRI morphometry study of the human brain via diffeomorphic metric mapping, Human Brain Mapping, vol.25, issue.7, pp.2132-2141, 2009.
DOI : 10.1002/hbm.20655

M. I. Miller, A. Trouvé, and L. Younes, On the Metrics and Euler-Lagrange Equations of Computational Anatomy, Annual Review of Biomedical Engineering, vol.4, issue.1, 2002.
DOI : 10.1146/annurev.bioeng.4.092101.125733

M. Sabuncu, S. K. Balci, and P. Golland, Discovering Modes of an Image Population through Mixture Modeling, MICCAI LNCS, issue.5242, pp.381-389, 2008.
DOI : 10.1007/978-3-540-85990-1_46

W. Seeley, Neurodegenerative diseases target large-scale human brain networks, pp.42-52, 2009.
DOI : 10.1016/j.neuron.2009.03.024

URL : http://doi.org/10.1016/j.neuron.2009.03.024

S. Smith, Network modelling methods for FMRI, NeuroImage, vol.54, issue.2, pp.875-891, 2011.
DOI : 10.1016/j.neuroimage.2010.08.063

R. Tibshirani, Regression shrinkage and selection via the lasso, J. Royal. Statist. Soc B, vol.58, issue.1, pp.267-288, 1996.

M. Toewsa, Feature-based morphometry: Discovering group-related anatomical patterns, NeuroImage, vol.49, issue.3, pp.2318-2327, 2010.
DOI : 10.1016/j.neuroimage.2009.10.032

G. Varoquaux, Brain covariance selection: better individual functional connectivity models using population prior, NIPS, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00512451

L. Wang, Abnormalities of hippocampal surface structure in very mild dementia of the Alzheimer type, NeuroImage, vol.30, issue.1, pp.52-60, 2006.
DOI : 10.1016/j.neuroimage.2005.09.017

Y. Wang, T. F. Chan, A. W. Toga, and P. M. Thompson, Shape analysis with multivariate tensor-based morphometry and holomorphic differentials, 2009.

J. Wright, Y. Ma, J. Mairal, G. Sapiro, T. Huang et al., Sparse Representation for Computer Vision and Pattern Recognition, Proceedings of the IEEE, 2010.
DOI : 10.1109/JPROC.2010.2044470

H. Zou and T. Hastie, Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society, Series B, 2005.